Understanding convolutional neural networks using a minimal model for handwritten digit recognition

Research article (2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2017) · cited 57× · AI/ML
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Understanding convolutional neural networks using a minimal model for handwritten digit recognition

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Understanding convolutional neural networks using a minimal model for handwritten digit recognition is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Understanding convolutional neural networks using a minimal model for handwritten digit recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/understanding-convolutional-neural-networks-using-a-minimal-model-for-handwritten-digit-recognition
MLA “Understanding convolutional neural networks using a minimal model for handwritten digit recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/understanding-convolutional-neural-networks-using-a-minimal-model-for-handwritten-digit-recognition.
BibTeX @misc{4ortxyz_understanding-convolutional-neural-networks-using-a-minimal-model-for-handwritten-digit-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Understanding convolutional neural networks using a minimal model for handwritten digit recognition}}, year = {2026}, url = {https://4ort.xyz/entity/understanding-convolutional-neural-networks-using-a-minimal-model-for-handwritten-digit-recognition}, note = {Accessed: 2026-05-24}}
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